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SMTS Software Development Eng.



We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 

AMD together we advance_


Do you want to develop math libraries to enable high performance computing and machine learning workloads at Exascale?  AMD is searching for talented and motivated mathematicians, scientists, and engineers to support rocSPARSE (, and rocALUTION (, AMD’s GPU-accelerated, sparse matrix libraries.  The rocSPARSE and rocALUTION libraries are part of the AMD ROCm™ Software platform (

The Libraries group in AMD AI GPU Software (AGS) builds the GPU-accelerated, open-source math and communication libraries that power artificial intelligence and high-performance computing applications on workstations, data centers, and super computers.



You are accustomed to working in a dynamic, geographically distributed agile team, where partnership and collaboration are paramount.  You possess excellent written and verbal communication skills, strong attention to detail, and the ability to express your work in a clear, cohesive fashion.  You are results-oriented and accustomed to tight deadlines and changing priorities.  Most importantly, you are constantly thinking of ways to improve performance of software and hardware.



  • Implement and test GPU algorithms for algorithms and solvers for sparse matrices.
  • Benchmark, profile, and optimize code to maximize throughput on single and multi-GPU systems.
  • Deliver high-quality code and documentation following best practices for open-source software development.
  • Work with key technical experts across AMD and with our partners and customers to improve ROCm applications, libraries, and tools.



  • Understanding of linear algebra and numerical methods for sparse matrices
  • Strong background developing applications and libraries in C, C++, or Python
  • GPU software development using HIP or CUDA
  • Understanding of CPU and GPU architectures and low-level optimization techniques including assembly programming and vectorization
  • Analysis and solution of numerical problems typically found in machine learning and scientific computing applications
  • In-depth knowledge of best-practices in software development, including testing, profiling, debugging, documentation, version control, issue tracking, and planning



  • B.Sc. or B.Eng. degree in Computer Science, Software Engineering, Electrical Engineering, Applied Mathematics, or equivalent
  • Advanced degrees, such as M.Sc., M.Eng., Ph.D. are preferred.


Calgary, Alberta, Canada





AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers and will consider all applicants without regard to race, marital status, sex, age, color, religion, national origin, veteran status, disability, or any other characteristic protected by law. EOE/MFDV

Benefits offered are described:  AMD benefits at a glance.


AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

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